Evidence map›Paper›PMID 26370727›Full record

ArticleChinese journal of cancer2015

Targeted therapy: resistance and re-sensitization.

Dao-Hong Chen, Xiao-Shi Zhang

Open access · goldAbstract read
In one paragraph

Article in Chinese journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Heliyon · 2024
    Review
  4. Heparin beyond anti-coagulation.Current research in translational medicine · 2021
    Review
  5. Review
  6. Article
  7. Innovative highlights of clinical drug trial design.Translational research : the journal of laboratory and clinical medicine · 2020
    Review
  8. Article
  9. Article
  10. Dually Efficacious Medicine Against Fibrosis and Cancer.Medical sciences (Basel, Switzerland) · 2019
    Review
  11. Tocotrienols Modulate a Life or Death Decision in Cancers.International journal of molecular sciences · 2019
    Review
  12. Cancer cell international · 2019
    Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Dao-Hong ChenBiomedical Research Institute, Yiling Pharmaceutical Company, Beijing, 102600, P. R. China. daohong@hotmail.com.
Xiao-Shi ZhangBiotherapy Center, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, P. R. China. zhangxsh@sysucc.org.cn.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last two decades have witnessed a paradigm shift from cytotoxic drugs to targeted therapy in medical oncology and pharmaceutical innovation. Inspired by breakthroughs in molecular and cellular biology, a number of novel synthesized chemical compounds and recombinant antibodies have been developed to selectively target oncogenic signaling pathways in a broad array of tumor types. Although targeted therapeutic agents show impressive clinical efficacy and minimized adverse effects compared with traditional treatments, the challenging drug-resistant issue has also emerged to limit their benefits to cancer patients. In this regard, we aim to improve targeted therapy by presenting a systematic framework regarding the drug resistance mechanisms and alternative approaches to re-sensitize cancer cells/tissues therapeutically.

Indexed as

Drug Resistance, NeoplasmSignal TransductionAntineoplastic AgentsHumansNeoplasmsAntineoplastic Agents

Identifiers

PMID26370727
PMCPMC4593385
OpenAlexW2110622353

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.